In numpy, what\'s the most efficient way to compute x.T * x, where x is a large (200,000 x 1000) dense float32 matrix and .T is the transpose operator?
I have a table which looks like this: idresponse_idnamevalue 613genderfemale 513workingAreaSch 312workingAreaIT
How can I transpose a list like [[1,2,3][4,5,6开发者_Go百科][6,7,8]] to [[1,4,6],[2,7,8],[3,6,9]]?
Example: $arr1 = array(\'a\' => "1", \'b\' => "2", \'c\' => "3", \'z\' => "4");
This question already has answers here: Transposing multidimensional arrays in PHP 开发者_开发技巧
I want to display a \"开发者_StackOverflow社区flipped\" (transposed) data table. E.g. given some data:
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I have a table in Oracle 10g that contains some information as follows: SQL> select * from t_test; INFOCODIGO GRUPO
I have some code that uses xsl and xml. The Xml control is on the design page. The xml control id is xmlApplication
I have a table like this: NameStateAmount ------------------------------ Pump 1Present开发者_开发问答339
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